
When this happens...

Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
Enable Integrations or automations with these events of Nifty and RunPod
Creates a new task in a specific project or workspace.
Creates a new project within an organization or team.
Creates a new milestone to track project progress.
This endpoint fetch the user information.
creates new portfolio
creates a new document.
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Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Nifty and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Nifty triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Nifty data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between Nifty and RunPod typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Nifty and RunPod. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Nifty is a project management and team collaboration tool designed to streamline your workflow and enhance productivity. It offers features such as task management, time tracking, project timelines, and team communication to help you manage your projects efficiently.
Learn MoreRunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
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